Autonomous vehicle identification

ABSTRACT

Various technologies described herein pertain to controlling an autonomous vehicle to provide indicators to distinguish the autonomous vehicle from other autonomous vehicles in a fleet. The autonomous vehicle includes a vehicle propulsion system, a braking system, a notification system, and a computing system. The notification system outputs an indicator that is perceivable external to the autonomous vehicle. The computing system receives data specifying an identity of a passenger to be picked up by the autonomous vehicle. Moreover, the computing system controls at least one of the vehicle propulsion system or the braking system to stop the autonomous vehicle for passenger pickup. Further, the computing system controls the notification system to output the indicator; a characteristic of the indicator outputted by the notification system is controlled based on the identity of the passenger to be picked up and whether the autonomous vehicle is stopped for passenger pickup.

CROSS-REFERENCE TO RELATED APPLICATION

This application is a continuation of U.S. patent application Ser. No.16/112,871, filed on Aug. 27, 2018, and entitled “AUTONOMOUS VEHICLEIDENTIFICATION”, the entirety of which is incorporated herein byreference.

BACKGROUND

An autonomous vehicle is a motorized vehicle that can operate withouthuman conduction. An exemplary autonomous vehicle includes a pluralityof sensor systems, such as but not limited to, a lidar sensor system, acamera sensor system, and a radar sensor system, amongst others. Theautonomous vehicle operates based upon sensor signals output by thesensor systems.

According to an exemplary interaction scenario, a passenger who desiresto be picked up for a ride may hail an autonomous vehicle by sending arequest utilizing a computing device (e.g., a mobile computing device).Responsive to the request, a particular autonomous vehicle from a fleetof autonomous vehicles can be assigned to provide a ride for thepassenger to be picked up. The autonomous vehicle, for instance, mayneed to travel to a pickup location to meet the passenger to be pickedup. However, conventional autonomous vehicles may be difficult todistinguish, especially when many of the autonomous vehicles in thefleet have similar appearances. Thus, identification of the autonomousvehicle assigned to provide the ride for the passenger may bechallenging and time consuming. Identification of the autonomous vehiclemay be particularly difficult in a high traffic area where a number ofautonomous vehicles from the fleet are being concurrently hailed bydifferent passengers. Moreover, such distinguishing of a vehicle from afleet is particularly problematic for autonomous vehicles as compared toconventional human driven vehicles, since there is no driver tocommunicate that the autonomous vehicle has been assigned to provide theride to the particular passenger. Thus, for instance, a passenger to bepicked up may not know which autonomous vehicle to attempt to enter whenmore than one autonomous vehicle is within proximity of the passenger.Further, a passenger may attempt to enter into an incorrect autonomousvehicle; if a passenger were to enter into an improper autonomousvehicle, overall fleet planning can be detrimentally impacted.

Moreover, due to the nature of autonomous vehicles (e.g., the lack of adriver to communicate with a passenger to be picked up), it may beunclear to the passenger to be picked up when it is safe to attempt toenter into the autonomous vehicle. For instance, the autonomous vehiclemay be slowing to approach a location at which the passenger is to bepicked up. While the autonomous vehicle may momentarily be stoppedduring a given time period, it may resume motion to continue travelingto the pickup location. Thus, the passenger may attempt to enter intothe autonomous vehicle prior to the autonomous vehicle being fullystopped for passenger pickup.

SUMMARY

The following is a brief summary of subject matter that is described ingreater detail herein. This summary is not intended to be limiting as tothe scope of the claims.

Described herein are various technologies that pertain to controlling anautonomous vehicle to provide indicators to distinguish the autonomousvehicle from other autonomous vehicles in a fleet. With morespecificity, described herein are various technologies pertaining tocontrolling a notification system of an autonomous vehicle configured tooutput an indicator that is perceivable external to the autonomousvehicle. The indicator is controlled as a function of an identity of apassenger to be picked up as well as a state of the autonomous vehicle(e.g., whether the autonomous vehicle is stopped for passenger pickup).

As indicated above, the notification system of the autonomous vehicle isconfigured to output an indicator that is perceivable external to theautonomous vehicle. Pursuant to an example, the notification system caninclude a lighting system configured to emit a visual indicator viewableexternal to the autonomous vehicle. According to another example, thenotification system can include a sound system configured to emit anaudible indicator perceivable external to the autonomous vehicle.However, it is contemplated that both a visual indicator and an audibleindicator can be outputted by the notification system (e.g., during thesame time period, during different time periods); thus, the notificationsystem can include both the lighting system and the sound system. Theindicator outputted by the notification system can signify to apassenger to be picked up (e.g., while the passenger is outside theautonomous vehicle) that the autonomous vehicle is assigned to provide aride to the passenger. Moreover, the indicator outputted by thenotification system can specify other information to the passenger,namely, information pertaining to the state of the autonomous vehicle.

According to various embodiments, an autonomous vehicle includes avehicle propulsion system, a braking system, a computing system, and thenotification system. The computing system is in communication with thevehicle propulsion system, the braking system, and the notificationsystem. The computing system can receive data specifying an identity ofa passenger to be picked up by the autonomous vehicle. Moreover, thecomputing system can control at least one of the vehicle propulsionsystem or the braking system to stop the autonomous vehicle forpassenger pickup. Further, the computing system can control thenotification system of the autonomous vehicle to output an indicator. Acharacteristic of the indicator outputted by the notification system canbe controlled by the computing system based on the identity of thepassenger to be picked up and whether the autonomous vehicle is stoppedfor passenger pickup. For example, the characteristic of the indicatorcan be predefined by the passenger to be picked up. Pursuant to anotherexample, the characteristic of the indicator can be selected by thecomputing system; following this example, data specifying thecharacteristic of the indicator selected for the passenger to be pickedup can be transmitted by the computing system (e.g., from the autonomousvehicle to a computing device of the passenger such that the data can bedisplayed to the passenger).

Thus, for instance, it is contemplated that a characteristic of a visualindicator emitted by a lighting system viewable external to theautonomous vehicle can be controlled by the computing system, acharacteristic of an audible indicator perceivable external to theautonomous vehicle emitted by a sound system can be controlled by thecomputing system, or a combination thereof. Moreover, according tovarious embodiments, it is contemplated that the computing system cancontrol a window actuator to lower a window when the autonomous vehicleis stopped for passenger pickup and/or a door lock to unlock when theautonomous vehicle is stopped for passenger pickup. The window can belowered to allow for an audible indicator to be perceivable external tothe autonomous vehicle, for instance. Further, the computing system canlower the window and/or unlock the door lock when the passenger isdetected (e.g., by the autonomous vehicle) to be within a predetermineddistance from the autonomous vehicle.

The above summary presents a simplified summary in order to provide abasic understanding of some aspects of the systems and/or methodsdiscussed herein. This summary is not an extensive overview of thesystems and/or methods discussed herein. It is not intended to identifykey/critical elements or to delineate the scope of such systems and/ormethods. Its sole purpose is to present some concepts in a simplifiedform as a prelude to the more detailed description that is presentedlater.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a functional block diagram of an exemplary autonomousvehicle.

FIG. 2 illustrates an exemplary environment that includes a plurality ofautonomous vehicles and a plurality of passengers to be picked up withingeographic proximity.

FIG. 3 illustrates a functional block diagram of an exemplary autonomousvehicle.

FIG. 4 illustrates a functional block diagram of an exemplary autonomousvehicle.

FIG. 5 illustrates a functional block diagram of an exemplary systemthat includes an autonomous vehicle.

FIG. 6 illustrates an exemplary environment that includes an autonomousvehicle and a passenger to be picked up.

FIG. 7 is a flow diagram that illustrates an exemplary methodologyperformed by an autonomous vehicle to provide an indicator todistinguish the autonomous vehicle.

FIG. 8 is a flow diagram that illustrates another exemplary methodologyperformed by an autonomous vehicle to provide an indicator todistinguish the autonomous vehicle.

FIG. 9 illustrates an exemplary computing device.

DETAILED DESCRIPTION

Various technologies pertaining to controlling an autonomous vehicle toprovide an indicator, which is perceivable external to the autonomousvehicle, to identify the autonomous vehicle to a passenger to be pickedup, where the indicator is controlled as a function of an identity ofthe passenger to be picked up and a state of the autonomous vehicle, arenow described with reference to the drawings, wherein like referencenumerals are used to refer to like elements throughout. In the followingdescription, for purposes of explanation, numerous specific details areset forth in order to provide a thorough understanding of one or moreaspects. It may be evident, however, that such aspect(s) may bepracticed without these specific details. In other instances, well-knownstructures and devices are shown in block diagram form in order tofacilitate describing one or more aspects. Further, it is to beunderstood that functionality that is described as being carried out bycertain system components may be performed by multiple components.Similarly, for instance, a component may be configured to performfunctionality that is described as being carried out by multiplecomponents.

Moreover, the term “or” is intended to mean an inclusive “or” ratherthan an exclusive “or.” That is, unless specified otherwise, or clearfrom the context, the phrase “X employs A or B” is intended to mean anyof the natural inclusive permutations. That is, the phrase “X employs Aor B” is satisfied by any of the following instances: X employs A; Xemploys B; or X employs both A and B. In addition, the articles “a” and“an” as used in this application and the appended claims shouldgenerally be construed to mean “one or more” unless specified otherwiseor clear from the context to be directed to a singular form.

As used herein, the terms “component” and “system” are intended toencompass computer-readable data storage that is configured withcomputer-executable instructions that cause certain functionality to beperformed when executed by a processor. The computer-executableinstructions may include a routine, a function, or the like. It is alsoto be understood that a component or system may be localized on a singledevice or distributed across several devices. Further, as used herein,the term “exemplary” is intended to mean “serving as an illustration orexample of something.”

As referred to herein, a “passenger to be picked up” refers to apassenger who has requested a ride in an autonomous vehicle (or for whoma ride in an autonomous vehicle has otherwise been requested) and hasyet to enter into an autonomous vehicle for the requested ride.

Referring now to the drawings, FIG. 1 illustrates an autonomous vehicle100. The autonomous vehicle 100 can navigate about roadways withouthuman conduction based upon sensor signals outputted by sensor systemsof the autonomous vehicle 100. The autonomous vehicle 100 includes aplurality of sensor systems, namely, a sensor system 1 102, . . . , anda sensor system N 104, where N can be substantially any integer greaterthan 1 (collectively referred to herein as sensor systems 102-104). Thesensor systems 102-104 are of different types and are arranged about theautonomous vehicle 100. For example, the sensor system 1 102 may be alidar sensor system and the sensor system N 104 may be a camera (image)system. Other exemplary sensor systems included in the sensor systems102-104 can include radar sensor systems, GPS sensor systems, sonarsensor systems, infrared sensor systems, and the like.

The autonomous vehicle 100 further includes several mechanical systemsthat are used to effectuate appropriate motion of the autonomous vehicle100. For instance, the mechanical systems can include, but are notlimited to, a vehicle propulsion system 106, a braking system 108, and asteering system 110. The vehicle propulsion system 106 may be anelectric motor, an internal combustion engine, or a combination thereof.The braking system 108 can include an engine brake, brake pads,actuators, and/or any other suitable componentry that is configured toassist in decelerating the autonomous vehicle 100. The steering system110 includes suitable componentry that is configured to control thedirection of movement of the autonomous vehicle 100.

The autonomous vehicle 100 includes a notification system 112. Thenotification system 112 is configured to output an indicator 114. Theindicator 114 outputted by the notification system 112 is perceivableexternal to the autonomous vehicle 100. According to an example, thenotification system 112 can include a lighting system that emits avisual indicator viewable external to the autonomous vehicle 100.According to yet another example, the notification system 112 caninclude a sound system that can emit an audible indicator perceivableexternal to the autonomous vehicle 100. Further, it is contemplated thatthe notification system 112 can include both a lighting system and asound system. Thus, the indicator 114 outputted by the notificationsystem 112 can be a visual indicator, an audible indicator, or acombination thereof. Pursuant to an illustration in which thenotification system 112 includes both a lighting system and a soundsystem, it is to be appreciated that the notification system 112 canconcurrently emit a visual indicator and an audible indicator during acommon time period (e.g., the indicator 114 can include the visualindicator and the audible indicator) or the notification system 112 canemit a visual indicator and an audible indicator during different timeperiods (e.g., the indicator 114 outputted during a particular timeperiod can be one of the visual indicator or the audible indicator). Forinstance, the identification customization system 122 can cause thenotification system 112 to emit either a visual indicator or an audibleindicator based on factors such as time of day, location of theautonomous vehicle, preference of the passenger 124, a combinationthereof, or the like.

The autonomous vehicle 100 additionally includes a computing system 116that is in communication with the sensor systems 102-104, the vehiclepropulsion system 106, the braking system 108, the steering system 110,and the notification system 112. The computing system 116 includes aprocessor 118 and memory 120; the memory 120 includescomputer-executable instructions that are executed by the processor 118.Pursuant to various examples, the processor 118 can be or include agraphics processing unit (GPU), a plurality of GPUs, a centralprocessing unit (CPU), a plurality of CPUs, an application-specificintegrated circuit (ASIC), a microcontroller, a programmable logiccontroller (PLC), a field programmable gate array (FPGA), or the like.

The memory 120 of the computing system 116 includes an identificationcustomization system 122 that is configured to control the notificationsystem 112 of the autonomous vehicle 100 to output the indicator 114. Aswill be described in greater detail below, the identificationcustomization system 122 can control the indicator 114 outputted by thenotification system 112 such that a characteristic of the indicator 114is controlled based on an identity of a passenger 124 to be picked upand whether the autonomous vehicle 100 is stopped for passenger pickup.Thus, a characteristic of an indicator outputted by the notificationsystem 112 can differ for the passenger 124 as compared to a differingpassenger. According to an illustration, a pink light can be emitted forthe passenger 124 while a purple light can be emitted for a differingpassenger. Moreover, the identification customization system 122 canmodify the characteristic of the indicator 114 over time based on astate of the autonomous vehicle 100. For instance, a pink light emittedfor the passenger 124 can be flashing while the autonomous vehicle 100is moving (prior to passenger pickup) and the pink light emitted for thepassenger 124 can be solid while the autonomous vehicle 100 is stoppedfor passenger pickup.

The memory 120 additionally includes a control system 126. The controlsystem 126 is configured to control at least one of the mechanicalsystems of the autonomous vehicle 100 (e.g., at least one of the vehiclepropulsion system 106, the braking system 108, and/or the steeringsystem 110). Moreover, the control system 126 can be configured toprovide data corresponding to the control of the mechanical system(s) tothe identification customization system 122. For instance, the controlsystem 126 can provide data to the identification customization system122 specifying the state of the autonomous vehicle 100 (e.g., whether ornot the control system 126 has caused the mechanical system(s) to stopthe autonomous vehicle 100 for passenger pickup). Thus, theidentification customization system 122 can control the notificationsystem 112 to output the indicator 114 based on the data correspondingto the control of the mechanical system(s) received from the controlsystem 126.

Exemplary operation of the autonomous vehicle 100 is now set forth. Thepassenger 124 can hail an autonomous vehicle (e.g., utilizing acomputing device (not shown) via a dispatch computing system (notshown)). Accordingly, the dispatch computing system can assign theautonomous vehicle 100 to provide a ride to the passenger 124; thus, theautonomous vehicle 100 can be caused to pick up the passenger 124. Theautonomous vehicle 100 can receive passenger data 128 that specifies anidentity of the passenger 124 to be picked up by the autonomous vehicle100, amongst other information (e.g., a pickup location). The passengerdata 128 can further specify a predefined characteristic of an indicatorto be utilized by the autonomous vehicle 100 to identify the autonomousvehicle 100 to the passenger 124; however, in other embodiments, thepassenger data 128 need not include such data concerning a predefinedcharacteristic. The passenger data 128 can be received responsive to theautonomous vehicle 100 being assigned to pick up the passenger 124(which in turn is responsive to the passenger 124 sending a request tohail an autonomous vehicle from a fleet of autonomous vehicles).

The passenger data 128 specifying the identity of the passenger 124 tobe picked up by the autonomous vehicle 100 can be provided to thecomputing system 116. Moreover, the control system 126 can cause thevehicle propulsion system 106, the braking system 108, and the steeringsystem 110 to travel to a pickup location. Further, the control system126 can cause the vehicle propulsion system 106 and/or the brakingsystem 108 to stop the autonomous vehicle 100 for passenger pickup. Theidentification customization system 122 can control the notificationsystem 112 of the autonomous vehicle 100 to output the indicator 114,such that a characteristic of the indicator 114 outputted by thenotification system 112 is controlled based on the identity of thepassenger 124 to be picked up and whether the autonomous vehicle 100 isstopped for passenger pickup.

As noted above, the identification customization system 122 can controlthe notification system 112 to output an indicator having a firstcharacteristic for a first passenger and can control the notificationsystem 112 to output an indicator having a second characteristic for asecond passenger. For instance, the identification customization system122 can cause the notification system 112 to play a first song for thepassenger 124 (when picking up the passenger 124), whereas theidentification customization system 122 can cause the notificationsystem 112 to play a different, second song for a differing passenger(when picking up the differing passenger).

Moreover, the identification customization system 122 can control thecharacteristic of the indicator 114 outputted by the notification system112 to differ based on a state of the autonomous vehicle 100. Forinstance, while the autonomous vehicle 100 is still moving (e.g., thecontrol system 126 is controlling the mechanical system(s) to slow theautonomous vehicle 100 or move the autonomous vehicle 100 to a pickuplocation), the characteristic of the indicator 114 can differ ascompared to when the autonomous vehicle 100 has stopped for passengerpickup (e.g., the control system 126 is controlling the mechanicalsystem(s) to stop the autonomous vehicle 100 for passenger pickup).Accordingly, the characteristic of the indicator 114 outputted by thenotification system 112 can signify to the passenger 124 whether or notto attempt to enter into the autonomous vehicle 100.

According to an example, the characteristic of the indicator 114 outputby the notification system 112 as controlled by the identificationcustomization system 122 can be predefined by the passenger 124 to bepicked up. For instance, the predefined characteristic can be specifiedin the passenger data 128 received by the autonomous vehicle 100. It iscontemplated that the predefined characteristic can be set by thepassenger 124 when hailing the autonomous vehicle 100, when initializingpreferences in an account of the passenger 124, when modifying thepreferences in the account of the passenger 124, or the like; however,the claimed subject matter is not so limited. According to anotherexample, the characteristic of the indicator 114 outputted by thenotification system 112 as controlled by the identificationcustomization system 122 can be selected by the identificationcustomization system 122. Following this example, the identificationcustomization system 122 can cause data specifying the characteristic ofthe indicator 114 selected for the passenger 124 to be transmitted fromthe computing system 116. For instance, the data specifying thecharacteristic of the indicator 114 can be transmitted from theautonomous vehicle 100 to a computing device (e.g., a mobile computingdevice) of the passenger 124, such that the data can be presented (e.g.,displayed or otherwise outputted) to the passenger 124.

Now turning to FIG. 2, illustrated is an exemplary environment 200 thatincludes a plurality of autonomous vehicles and a plurality ofpassengers to be picked up within geographic proximity. Moreparticularly, the environment 200 includes an autonomous vehicle 1 202,. . . , and an autonomous vehicle M 204, where M can be substantiallyany integer greater than 1 (collectively referred to herein asautonomous vehicles 202-204). Moreover, the environment 200 includes apassenger 206, . . . , and a passenger 208 (collectively referred toherein as passengers 206-208). It is contemplated that the environment200 can include M passengers 206-208, more than M passengers 206-208, orfewer than M passengers 206-208. By way of illustration, it iscontemplated that the autonomous vehicle 1 202 can be the autonomousvehicle 100, and the remainder of the autonomous vehicles 202-204 can besubstantially similar to the autonomous vehicle 100. Further followingthis illustration, it is to be appreciated that the passenger 206 can bethe passenger 124.

With conventional approaches, it may be difficult for a passenger todiscern which autonomous vehicle from a fleet of autonomous vehicles isassigned to the passenger. This is particularly problematic forautonomous vehicles as compared to human driven vehicles since there isno driver to provide feedback to aid in the identification of theautonomous vehicle to the passenger to be picked up by the autonomousvehicle. Moreover, with a plurality of autonomous vehicles in geographicproximity, the challenge of identifying the appropriate autonomousvehicle is made more difficult.

In contrast to conventional approaches, as set forth herein, theautonomous vehicles 202-204 can each output a corresponding indicator.For instance, the autonomous vehicle 1 202 can output an indicator 1210, . . . , and the autonomous vehicle M 204 can output an indicator M212. As described herein, the autonomous vehicle 1 202 controls acharacteristic of the indicator 1 210 (e.g., based on the identity ofthe passenger 206 to be picked up by the autonomous vehicle 1 210 andwhether the autonomous vehicle 1 210 is stopped for passenger pickup).The remaining autonomous vehicles 202-204 can similarly controlcharacteristics of the indicators respectively outputted thereby.Accordingly, when in the environment 200 with a plurality of autonomousvehicles 202-204, the autonomous vehicle 1 202 can control thecharacteristic of the indicator 210 such that the passenger 206 to bepicked up can distinguish that the autonomous vehicle 1 202 is toprovide the ride to the passenger 206 and that the timing is appropriate(or not appropriate) for the passenger 206 to attempt to enter into theautonomous vehicle 1 202.

Now turning to FIG. 3, illustrated is the autonomous vehicle 100 inaccordance with various embodiments. Again, the autonomous vehicle 100includes the computing system 116 and the notification system 112. Whilenot shown, it is to be appreciated that the autonomous vehicle 100further includes the sensor systems 102-104 and the mechanical systemsas described herein. As depicted in FIG. 3, the notification system 112can include a lighting system 302 and a sound system 304; thus, theidentification customization system 122 can control the lighting system302 and/or the sound system 304 to output the indicator 114.

According to an example, the identification customization system 122 cancause the lighting system 302 to emit a visual indicator viewableexternal to the autonomous vehicle. A characteristic of the visualindicator controlled to be output by the lighting system 302 can bebased on the identity of the passenger 124 to be picked up and whetherthe autonomous vehicle 100 is stopped for passenger pickup (e.g. ascontrolled by the control system 126). It is contemplated that thevisual indicator can be displayed on the autonomous vehicle 100 (or aportion thereof) and/or nearby the autonomous vehicle 100 (e.g., thevisual indicator can be projected by the lighting system 302 onto theground nearby the autonomous vehicle 100).

The lighting system 302 can include substantially any number of lightsthat can be incorporated into or mounted upon the autonomous vehicle100. The lights of the lighting system 302 can include substantially anytype of lights (e.g., the lighting system 302 can include various lightemitting diodes (LEDs)). It is contemplated that a subset of the lightsof the lighting system 302 can emit the visual indicator at a giventime, while a remainder of the lights of the lighting system 302 neednot be illuminated (e.g., a light bar on one door of the autonomousvehicle 100 can be illuminated while a light bar on a differing door isnot illuminated). The lights of the lighting system 302 can be coloraddressable. Moreover, according to an example, the lights of thelighting system 302 can emit light in a controllable direction from theautonomous vehicle 100. Further, is to be appreciated that the lights ofthe lighting system 302 can be located at substantially any location onthe autonomous vehicle 100 (e.g., on a top of the autonomous vehicle 100around a lidar sensor system, underneath the autonomous vehicle 100, ondoors of the autonomous vehicle 100, on windows of the autonomousvehicle 100, on trim surrounding doors and/or windows of the autonomousvehicle 100).

Pursuant to an example, the characteristic of the visual indicator canbe a color of the visual indicator. According to an illustration, theidentification customization system 122 can cause the lighting system302 to emit a pink light based on the identity of the passenger 124 tobe picked up, whereas the identification customization 122 can cause adiffering color light to be emitted by the lighting system 302 when theautonomous vehicle 100 is to be picking up a differing passenger otherthan the passenger 124. For instance, the passenger 124 may specify thata pink light be used. Alternatively, the identification customizationsystem 122 can select that a pink light be used for the passenger 124,which may be communicated to a computing device of the passenger 124.

By way of illustration, the passenger 124 can specify a color for avisual indicator under the autonomous vehicle 100. Following thisillustration, the identification customization system 122 can cause thelighting system 302 to emit the visual indicator under the autonomousvehicle 100 having such color when the autonomous vehicle 100 has pulledover and stopped for passenger pickup. The visual indicator can servedual-purposes, namely, to identify to the passenger 124 that theautonomous vehicle 100 has pulled over, completely stopped, and will notmove again until the passenger 124 enters into the autonomous vehicle100 as well as to identify that the autonomous vehicle 100 is assignedto pick up the passenger 124 for a ride. The foregoing can help,particularly in high traffic areas, at night, and/or in a location atwhich a significant number of autonomous vehicles are within geographicproximity.

According to another example, the characteristic of the visual indicatorcan include a location of the visual indicator relative to theautonomous vehicle 100. For instance, the location can be on or near aparticular door of the autonomous vehicle 100, on or near by aparticular window of the autonomous vehicle 100, or the like. Thelocation of the visual indicator can further be controlled by theidentification customization system 122 based on a seat in theautonomous vehicle 100 for the passenger 124 to be picked up.

Pursuant to another example, the characteristic of the visual indicatorcan be an animation. For instance, a predefined animation can be set forthe passenger 124. According to an illustration, the predefinedanimation for the passenger 124 can include marching green ants depictedby the lighting system 302 to be marching around the autonomous vehicle100 when the autonomous vehicle 100 is stopped to pick up the passenger124. Moreover, it is contemplated that common animations can be utilizedfor passengers (e.g., ants standing still prior to the autonomousvehicle 100 stopping and the ants marching after the autonomous vehicle100 stops), whereas other characteristics of the visual indicator can bemodified based on the identity of the passenger 124 to be picked up(e.g., pink versus yellow ants).

Pursuant to an illustration, an animation emitted by the lighting system302 controlled by the identification customization system 122 can differbefore and after the autonomous vehicle 100 has stopped for passengerpickup. For instance, prior to the control system 126 causing thevehicle propulsion system 106 and/or the braking system 108 to stop theautonomous vehicle 100 for passenger pickup, the animation emitted bythe lighting system 302 can indicate to the passenger 124 to be pickedup to wait while the autonomous vehicle 100 is still approaching thepickup location. Thereafter, subsequent to the control system 126causing the mechanical system(s) of the autonomous vehicle 100 to stopthe autonomous vehicle 100 for passenger pickup, the animation emittedby the lighting system 302 as controlled by the identificationcustomization system 122 can signify that the timing is appropriate forthe passenger 124 to enter into the autonomous vehicle 100.

Moreover, as noted above, the notification system 112 can include thesound system 304. Accordingly, the identification customization system122 can cause the sound system 304 to emit an audible indicatorperceivable external to the autonomous vehicle 100. A characteristic ofthe audible indicator can be controlled by the identificationcustomization system 122 based on the identity of the passenger 124 tobe picked up and whether the autonomous vehicle 100 is stopped forpassenger pickup as controlled by the control system 126. According toan example, the characteristic of the audible indicator can be anidentity of a song played by the sound system 304. For instance, thesong may be streamed from a mobile computing device of the passenger 124to be picked up (e.g., when the mobile computing device and theautonomous vehicle 100 are within a predetermined distance of eachother, via a Wi-Fi network or some other wireless communicationstechnology for pairing the mobile computing device with the sound system304 of the autonomous vehicle 100); however, the claimed subject matteris not so limited. Further, it is to be appreciated that substantiallyany type of audible indicator other than songs can be emitted by thesound system 304 based on the identity of the passenger 124 and thestate of the autonomous vehicle 100.

Referring to FIG. 4, illustrated is the autonomous vehicle 100 accordingto various embodiments. Again, the autonomous vehicle 100 includes thecomputing system 116 and the notification system 112 as well as thesensor systems 102-104 and the mechanical systems. The autonomousvehicle 100 further includes a window actuator 402, a window 404, a doorlock 406, and a door 408. While a single window actuator, window, doorlock, and door are depicted as being included as part of the autonomousvehicle 100, it is to be appreciated that substantially any number ofwindow actuators, windows, door locks, and doors can be included in theautonomous vehicle (e.g., the autonomous vehicle 100 can include fourwindow actuators, four windows, four door locks, and four doors).

Moreover, the computing system 116 can be in communication with thewindow actuator 402 and the door lock 406. The window actuator 402 canbe configured to move the window 404 responsive to a signal receivedfrom the computing system 116. Further, the door lock 406 can be lockedor unlocked responsive to a signal received from the computing system116.

Pursuant to an example, the identification customization system 122 cancontrol the window actuator 402 to lower the window 404 when theautonomous vehicle 100 is stopped for passenger pickup and the passenger124 is within a predetermined distance from the autonomous vehicle 100.By way of illustration, the window actuator 402 controlled by theidentification customization system 122 can be selected based upon adoor in which the passenger 124 to be picked up is to enter into theautonomous vehicle 100 (e.g., the door 408). However, it is contemplatedthat a plurality of window actuators can be controlled by theidentification customization system 112 to lower a plurality of windowswhen the autonomous vehicle 100 is stopped for passenger pickup and thepassenger 124 is within the predetermined distance from the autonomousvehicle 100. Pursuant to yet another illustration, the identificationcustomization system 112 can control window actuator(s) to lowerwindow(s) based on a location of the passenger 124 to be picked uprelative to the autonomous vehicle 100 (e.g., if the passenger 124 isstanding outside the autonomous vehicle 100 on the left-hand side of theautonomous vehicle 100 then the window(s) on the left-hand side of theautonomous vehicle 100 can be lowered).

Moreover, as described herein, the notification system 112 can includethe sound system 304. Accordingly, the identification customizationsystem 122 can cause the sound system 304 to emit an audible indicatorperceivable external to the autonomous vehicle 100 in conjunction withcontrolling the window actuator 402 to lower the window 404. Forinstance, the autonomous vehicle 100 can pull over for passenger pickupand the window 404 (or plurality of windows) can be lowered by thewindow actuator 402, while an audible indicator (e.g., a song) chosen bythe passenger 124 can be played by the sound system 304.

According to an example, it is contemplated that the window lowering andthe song playing can be unlocked based upon points or loyalty. Forinstance, after a number of rides in autonomous vehicles in a fleet by apassenger, such features may be available to the passenger. Moreover,according to another example, a trivia game can be conducted. Followingthis example, the passenger can select from a list of clues that eachcorrespond to a song. The passenger can figure out the answer to theclues prior to the autonomous vehicle arriving, at which time theautonomous vehicle can lower a window and play the song.

Moreover, the identification customization system 122 can cause the doorlock 406 to unlock when the passenger 124 is detected to be within apredetermined distance from the autonomous vehicle 100. Accordingly, thepassenger 124 can enter into the autonomous vehicle 100 via the door 408upon the door lock 406 being unlocked. It is contemplated that all doorsof the autonomous vehicle 100 can be unlocked by the identificationcustomization system 112 when the passenger 124 is within thepredetermined distance or a particular door (or doors) can be unlockedby the identification customization system 112 when the passenger 124 iswithin the predetermined distance (e.g., the door to be entered by thepassenger 124, based on seats available and/or assigned to the passenger124).

Now turning to FIG. 5, illustrated is an exemplary system 500 thatincludes the autonomous vehicle 100. The autonomous vehicle 100 includesthe computing system 116 and the notification system 112 (as well as thesensor systems 102-104 and the mechanical systems). The autonomousvehicle 100 further includes a communication system 502. Moreover, thesystem 500 includes a mobile computing device 504 (of the passenger 124to be picked up). The communication system 502 of the autonomous vehicle100 can transmit data to and receive data from the mobile computingdevice 504.

According to an illustration, data exchanged between the communicationsystem 502 and the mobile computing device 504 can be sent via a Wi-Finetwork. Following this illustration, the communication system 502 canenable zero-configuration services, where the mobile computing device504 can be automatically paired to the autonomous vehicle 100 over abuilt-in Wi-Fi network without requiring a pairing process that involvesaction by the passenger 124 to be picked up. For instance, when pairedto the autonomous vehicle 100, the mobile computing device 504 can beautomatically paired to the sound system 304 of the autonomous vehicle502 (e.g., to stream music from the mobile computing device 504 tospeakers of the sound system 304). Further, the music streamed from themobile computing device 504 can be tied to cabin mood lights that, forinstance, can pulse lights and/or change colors of lights in the cabinfor an enhanced used experience; yet, the claimed subject matter is notso limited. Moreover, it is to be appreciated that substantially anytype of wireless communication technology in addition to or instead of aWi-Fi network can be utilized to exchange data between the communicationsystem 502 of the autonomous vehicle 100 and the mobile computing device504. It is also contemplated that data can be routed via substantiallyany number and/or type of intermediary nodes (e.g., via a centralserver).

As depicted, the memory 120 of the computing system 116 can include theidentification customization system 122 and the control system 126. Thememory 120 can further include an occupancy management system 506configured to track seat availability within the autonomous vehicle 100.Accordingly, in a ride sharing environment, passenger(s) already in theautonomous vehicle 100 (if any) can be detected by the occupancymanagement system 506. Moreover, the identification system 122 can causethe notification system 112 to output an indicator (e.g., the indicator114) such that a characteristic of the indicator specifies a particulardoor of the autonomous vehicle 100 for entry into the autonomous vehicle100 by the passenger 124 to be picked up. The particular door of theautonomous vehicle 100 for entry by the passenger 124 can be selected bythe occupancy management system 506 based upon current occupancy withinthe autonomous vehicle 100. According to an illustration, lights on aninside trim of a door or window can be caused to be illuminated by theidentification customization system 122 when a seat inside such door isfree in the autonomous vehicle 100. Thus, an area or seat available forthe passenger 124 to be picked up can be specified via the notificationsystem 112.

According to another example, is to be appreciated that the occupancymanagement system 502 can assign seats within the autonomous vehicle 100in a carpool situation. Following this example, the identificationcustomization system 122 can control the characteristic of the indicatoroutputted by the notification system 112 based upon the seat assignment.

Thus, the occupancy management system 502 can select a particular doorfor entry into the autonomous vehicle 100 based on the seat availabilityin the autonomous vehicle 100 and/or the seat assignment for thepassenger 124 to be picked up. As described above, a location of avisual indicator relative to the autonomous vehicle 100 can becontrolled based on the seat in the autonomous vehicle 100 available forand/or assigned to the passenger 124 to be picked up. For instance, acharacteristic of the visual indicator can specify the particular doorof the autonomous vehicle 100 for entry into the autonomous vehicle 100by the passenger 124 to be picked up.

FIG. 6 illustrates an exemplary environment 600 that includes theautonomous vehicle 100 and the passenger 124 to be picked up. As shown,an indicator 602 can be outputted by the autonomous vehicle 100 tosignify to the passenger 124 to be picked up that the passenger 124 isto enter into a particular door 604 (e.g., as selected by the occupancymanagement system 502). It is contemplated that the indicator 602 can bea visual indicator viewable external to the autonomous vehicle 100,however, the claimed subject matter is not so limited. For instance, itis contemplated that a window of the particular door 604 canadditionally or alternatively be lowered to signify to the passenger 124to enter into the particular door 604.

Reference is again made to FIG. 5. The memory 120 of the computingsystem 116 can further include a proximity detection system 508configured to detect a distance between the autonomous vehicle 100 andthe passenger 124 to be picked up. It is to be appreciated that theproximity detection system 508 can detect the passenger 124 to be pickedup in substantially in any manner (e.g., via facial recognition, basedon a signal received from the mobile computing device 504 of thepassenger 124 to be picked up). According to another example, it iscontemplated that the passenger 124 may carry a keypass that can beutilized by the proximity detection system 508 to detect the distancebetween the autonomous vehicle 100 and the passenger 124 to be pickedup. Moreover, a characteristic of an indicator outputted by thenotification system 112 can be controlled by the identificationcustomization system 122 based on the distance between the autonomousvehicle 100 and the passenger 124 to be picked up.

According to an illustration, the proximity detection system 508 candetect whether the passenger 124 to be picked up is within apredetermined distance from the autonomous vehicle 100. Theidentification customization system 122 can control a window actuator(e.g., the window actuator 402) to lower a window (e.g., the window 404)when the autonomous vehicle 100 is stopped for passenger pickup and thepassenger 124 to be picked up is detected by the proximity detectionsystem 508 to be within the predetermined distance from the autonomousvehicle 100. Additionally or alternatively, a door lock (e.g., the doorlock 406) of a door (e.g., the door 408) can be unlocked by theidentification customization system 122 when the autonomous vehicle 100is stopped for passenger pickup and the passenger 124 to be picked up isdetected by the proximity detection system 508 to be within thepredetermined distance from the autonomous vehicle 100.

FIGS. 7-8 illustrate exemplary methodologies relating to controlling anautonomous vehicle to provide an indicator to distinguish the autonomousvehicle from other autonomous vehicles in a fleet. While themethodologies are shown and described as being a series of acts that areperformed in a sequence, it is to be understood and appreciated that themethodologies are not limited by the order of the sequence. For example,some acts can occur in a different order than what is described herein.In addition, an act can occur concurrently with another act. Further, insome instances, not all acts may be required to implement a methodologydescribed herein.

Moreover, the acts described herein may be computer-executableinstructions that can be implemented by one or more processors and/orstored on a computer-readable medium or media. The computer-executableinstructions can include a routine, a sub-routine, programs, a thread ofexecution, and/or the like. Still further, results of acts of themethodologies can be stored in a computer-readable medium, displayed ona display device, and/or the like.

FIG. 7 illustrates a methodology 700 performed by an autonomous vehicleto provide an indicator to distinguish the autonomous vehicle. At 702,data specifying an identity of a passenger to be picked up can bereceived by the autonomous vehicle. At 704, at least one of a vehiclepropulsion system of the autonomous vehicle or a braking system of theautonomous vehicle can be controlled to stop the autonomous vehicle forpassenger pickup. At 706, a notification system of the autonomousvehicle can be controlled to output an indicator. A characteristic ofthe indicator outputted by the notification system can be controlledbased on the identity of the passenger to be picked up and whether theautonomous vehicle is stopped for passenger pickup. For instance, thenotification system can include a lighting system; thus, the lightingsystem can be controlled to emit a visual indicator viewable external tothe autonomous vehicle. Additionally or alternatively, the notificationsystem can include a sound system; the sound system can be controlled toemit an audible indicator perceivable external to the autonomousvehicle.

Turning to FIG. 8, illustrated is another methodology 800 performed byan autonomous vehicle to provide an indicator to distinguish theautonomous vehicle. At 802, at least one of a vehicle propulsion systemof the autonomous vehicle or a braking system of the autonomous vehiclecan be controlled to stop the autonomous vehicle for passenger pickup.Data specifying an identity of the passenger to be picked up by theautonomous vehicle can be received by the autonomous vehicle. At 804, aparticular door of the autonomous vehicle can be selected for entry intothe autonomous vehicle by the passenger to be picked up. The particulardoor can be selected based on seat availability in the autonomousvehicle for the passenger to be picked up. At 806, a notification systemof the autonomous vehicle can be controlled to output an indicatorperceivable external to the autonomous vehicle. The indicator canspecify the particular door of the autonomous vehicle for entry into theautonomous vehicle by the passenger to be picked up. Moreover, acharacteristic of the indicator outputted by the notification system canbe controlled based on the identity of the passenger to be picked up andwhether the autonomous vehicle is stopped for passenger pickup.

Referring now to FIG. 9, a high-level illustration of an exemplarycomputing device 900 that can be used in accordance with the systems andmethodologies disclosed herein is illustrated. For instance, thecomputing device 900 may be or include the computing system 116. Thecomputing device 900 includes at least one processor 902 that executesinstructions that are stored in a memory 904. The instructions may be,for instance, instructions for implementing functionality described asbeing carried out by one or more systems discussed above or instructionsfor implementing one or more of the methods described above. Theprocessor 902 may be a GPU, a plurality of GPUs, a CPU, a plurality ofCPUs, a multi-core processor, etc. The processor 902 may access thememory 904 by way of a system bus 906. In addition to storing executableinstructions, the memory 904 may also store passenger data, vehicleoccupancy data, data specifying characteristics of indicators, and soforth.

The computing device 900 additionally includes a data store 908 that isaccessible by the processor 902 by way of the system bus 906. The datastore 908 may include executable instructions, passenger data, vehicleoccupancy data, data specifying characteristics of indicators, etc. Thecomputing device 900 also includes an input interface 910 that allowsexternal devices to communicate with the computing device 900. Forinstance, the input interface 910 may be used to receive instructionsfrom an external computer device, etc. The computing device 900 alsoincludes an output interface 912 that interfaces the computing device900 with one or more external devices. For example, the computing device900 may transmit control signals to the vehicle propulsion system 106,the braking system 108, and/or the steering system 110 by way of theoutput interface 912.

Additionally, while illustrated as a single system, it is to beunderstood that the computing device 900 may be a distributed system.Thus, for instance, several devices may be in communication by way of anetwork connection and may collectively perform tasks described as beingperformed by the computing device 900.

Various functions described herein can be implemented in hardware,software, or any combination thereof. If implemented in software, thefunctions can be stored on or transmitted over as one or moreinstructions or code on a computer-readable medium. Computer-readablemedia includes computer-readable storage media. A computer-readablestorage media can be any available storage media that can be accessed bya computer. By way of example, and not limitation, suchcomputer-readable storage media can comprise RAM, ROM, EEPROM, CD-ROM orother optical disk storage, magnetic disk storage or other magneticstorage devices, or any other medium that can be used to store desiredprogram code in the form of instructions or data structures and that canbe accessed by a computer. Disk and disc, as used herein, includecompact disc (CD), laser disc, optical disc, digital versatile disc(DVD), floppy disk, and blu-ray disc (BD), where disks usually reproducedata magnetically and discs usually reproduce data optically withlasers. Further, a propagated signal is not included within the scope ofcomputer-readable storage media. Computer-readable media also includescommunication media including any medium that facilitates transfer of acomputer program from one place to another. A connection, for instance,can be a communication medium. For example, if the software istransmitted from a website, server, or other remote source using acoaxial cable, fiber optic cable, twisted pair, digital subscriber line(DSL), or wireless technologies such as infrared, radio, and microwave,then the coaxial cable, fiber optic cable, twisted pair, DSL, orwireless technologies such as infrared, radio and microwave are includedin the definition of communication medium. Combinations of the aboveshould also be included within the scope of computer-readable media.

Alternatively, or in addition, the functionality described herein can beperformed, at least in part, by one or more hardware logic components.For example, and without limitation, illustrative types of hardwarelogic components that can be used include Field-programmable Gate Arrays(FPGAs), Application-specific Integrated Circuits (ASICs),Application-specific Standard Products (ASSPs), System-on-a-chip systems(SOCs), Complex Programmable Logic Devices (CPLDs), etc.

What has been described above includes examples of one or moreembodiments. It is, of course, not possible to describe everyconceivable modification and alteration of the above devices ormethodologies for purposes of describing the aforementioned aspects, butone of ordinary skill in the art can recognize that many furthermodifications and permutations of various aspects are possible.Accordingly, the described aspects are intended to embrace all suchalterations, modifications, and variations that fall within the scope ofthe appended claims. Furthermore, to the extent that the term “includes”is used in either the details description or the claims, such term isintended to be inclusive in a manner similar to the term “comprising” as“comprising” is interpreted when employed as a transitional word in aclaim.

What is claimed is:
 1. An autonomous vehicle, comprising: a vehicle propulsion system; a braking system; a window; a window actuator, the window actuator configured to move the window; a computing system that is in communication with the vehicle propulsion system, the braking system, and the window actuator, wherein the computing system comprises: a processor; and memory that stores computer-executable instructions that, when executed by the processor, cause the processor to perform acts comprising: receiving data specifying an identity of a passenger to be picked up by the autonomous vehicle; controlling at least one of the vehicle propulsion system or the braking system to cause the autonomous vehicle to stop for passenger pickup; detecting whether the passenger to be picked up is within a predetermined distance from the autonomous vehicle; selecting the window to open based on a door in which the passenger to be picked up is to enter into the autonomous vehicle, the window being selected from a plurality of windows of the autonomous vehicle; and controlling the window actuator to open the window when the autonomous vehicle is stopped for passenger pickup and the passenger to be picked up is within the predetermined distance from the autonomous vehicle, wherein the window actuator is controlled such that the window of the autonomous vehicle remains closed when at least one of: the autonomous vehicle is not stopped for passenger pickup; or the passenger is farther than the predetermined distance from the autonomous vehicle.
 2. The autonomous vehicle of claim 1, wherein whether the passenger to be picked up is within the predetermined distance from the autonomous vehicle is detected based on a signal received from a mobile computing device of the passenger to be picked up.
 3. The autonomous vehicle of claim 1, wherein whether the passenger to be picked up is within the predetermined distance from the autonomous vehicle is detected based on identification of the passenger to be picked up via facial recognition.
 4. The autonomous vehicle of claim 1, further comprising: a sound system configured to output an audible indicator, the audible indicator being perceivable from a position external to the autonomous vehicle; wherein the memory further stores computer-executable instructions that, when executed by the processor, cause the processor to perform acts comprising: controlling the sound system to emit the audible indicator perceivable from the position external to the autonomous vehicle when the window is open while the autonomous vehicle is stopped for passenger pickup and the passenger to be picked up is within the predetermined distance from the autonomous vehicle.
 5. The autonomous vehicle of claim 4, wherein one or more characteristics of the audible indicator emitted by the sound system are controlled based on the identity of the passenger to be picked up.
 6. The autonomous vehicle of claim 5, the one or more characteristics of the audible indicator being predefined by the passenger to be picked up.
 7. The autonomous vehicle of claim 5, the one or more characteristics of the audible indicator being controlled based on a distance between the autonomous vehicle and the passenger to be picked up.
 8. The autonomous vehicle of claim 4, wherein the memory further stores computer-executable instructions that, when executed by the processor, cause the processor to perform acts comprising: pairing the sound system to a mobile computing device of the passenger to be picked up; wherein the audible indicator perceivable from the position external to the autonomous vehicle comprises audio data streamed from the mobile computing device to the sound system.
 9. The autonomous vehicle of claim 1, wherein the memory further stores computer-executable instructions that, when executed by the processor, cause the processor to perform acts comprising: selecting the window to open further based on a location of the passenger to be picked up relative to the autonomous vehicle.
 10. A method performed by an autonomous vehicle, the method comprising: receiving data specifying an identity of a passenger to be picked up by the autonomous vehicle; controlling at least one of a vehicle propulsion system of the autonomous vehicle or a braking system of the autonomous vehicle to cause the autonomous vehicle to stop for passenger pickup; detecting whether the passenger to be picked up is within a predetermined distance from the autonomous vehicle; pairing a sound system of the autonomous vehicle to a mobile computing device of the passenger to be picked up; controlling a window actuator of the autonomous vehicle to open a window of the autonomous vehicle when the autonomous vehicle is stopped for passenger pickup and the passenger to be picked up is within the predetermined distance from the autonomous vehicle, wherein the window actuator is controlled such that the window of the autonomous vehicle remains closed when at least one of: the autonomous vehicle is not stopped for passenger pickup; or the passenger is farther than the predetermined distance from the autonomous vehicle; and controlling the sound system to emit an audible indicator perceivable from a position external to the autonomous vehicle when the window is open while the autonomous vehicle is stopped for passenger pickup and the passenger to be picked up is within the predetermined distance from the autonomous vehicle, wherein the audible indicator perceivable from the position external to the autonomous vehicle comprises audio data streamed from the mobile computing device to the sound system.
 11. The method of claim 10, further comprising: selecting the window to open based on a door in which the passenger to be picked up is to enter into the autonomous vehicle, the window being selected from a plurality of windows of the autonomous vehicle.
 12. The method of claim 10, further comprising: selecting the window to open based on a location of the passenger to be picked up relative to the autonomous vehicle, the window being selected from a plurality of windows of the autonomous vehicle.
 13. An autonomous vehicle, comprising: a vehicle propulsion system; a braking system; a window; a window actuator, the window actuator configured to move the window; a sound system configured to output an audible indicator, the audible indicator being perceivable from a position external to the autonomous vehicle; a computing system that is in communication with the vehicle propulsion system, the braking system, and the window actuator, wherein the computing system comprises: a processor; and memory that stores computer-executable instructions that, when executed by the processor, cause the processor to perform acts comprising: receiving data specifying an identity of a passenger to be picked up by the autonomous vehicle; controlling at least one of the vehicle propulsion system or the braking system to cause the autonomous vehicle to stop for passenger pickup; detecting whether the passenger to be picked up is within a predetermined distance from the autonomous vehicle; controlling the window actuator to open the window when the autonomous vehicle is stopped for passenger pickup and the passenger to be picked up is within the predetermined distance from the autonomous vehicle, wherein the window actuator is controlled such that the window of the autonomous vehicle remains closed when at least one of: the autonomous vehicle is not stopped for passenger pickup; or the passenger is farther than the predetermined distance from the autonomous vehicle; and controlling the sound system to emit the audible indicator perceivable from the position external to the autonomous vehicle when the window is open while the autonomous vehicle is stopped for passenger pickup and the passenger to be picked up is within the predetermined distance from the autonomous vehicle.
 14. The autonomous vehicle of claim 13, wherein whether the passenger to be picked up is within the predetermined distance from the autonomous vehicle is detected based on a signal received from a mobile computing device of the passenger to be picked up.
 15. The autonomous vehicle of claim 13, wherein whether the passenger to be picked up is within the predetermined distance from the autonomous vehicle is detected based on identification of the passenger to be picked up via facial recognition.
 16. The autonomous vehicle of claim 13, wherein one or more characteristics of the audible indicator emitted by the sound system are controlled based on the identity of the passenger to be picked up.
 17. The autonomous vehicle of claim 16, the one or more characteristics of the audible indicator being predefined by the passenger to be picked up.
 18. The autonomous vehicle of claim 16, the one or more characteristics of the audible indicator being controlled based on a distance between the autonomous vehicle and the passenger to be picked up.
 19. The autonomous vehicle of claim 13, wherein the memory further stores computer-executable instructions that, when executed by the processor, cause the processor to perform acts comprising: pairing the sound system to a mobile computing device of the passenger to be picked up; wherein the audible indicator perceivable from the position external to the autonomous vehicle comprises audio data streamed from the mobile computing device to the sound system.
 20. The autonomous vehicle of claim 13, wherein the memory further stores computer-executable instructions that, when executed by the processor, cause the processor to perform acts comprising: selecting the window to open, the window being selected from a plurality of windows of the autonomous vehicle. 